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gynaecological cancers. Perform molecular biology experiments (e.g., PCR, cell culture, protein assays, IHC). Support genomic and biomarker studies using high-throughput platforms. Analyse research data and assist
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at the University of Birmingham leads research in developing innovative solutions to support a greener and more sustainable future. As the sustainability lead for Co-AIMS we aim to demonstrate that the hub operation
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supportive, high-performing School of BioSciences environment. What you will deliver: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium
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to the development of advanced statistical frameworks and computational tools for analyzing high-dimensional biological and environmental data. The position will specifically focus on: • Development of multivariate
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impactful findings, and build a strong publication record. The Research Fellow will be expected to: Design, perform, and analyze independent research projects related to neutrophil biology, inflammation
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analysing high-dimensional datasets and fostering an interdisciplinary research environment at the interface of virology, genomics, and data science. We are looking for a creative, innovation-driven
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-targeting of high-risk epigenetic cell states we have identified. Key Responsibilities Independently carry out the design and execution of experimental research required by the research component of
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into potential therapeutic and diagnostic targets. You will have the opportunity to build your academic track record within a supportive, high-performing School of BioSciences environment. What you will deliver
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | 2 months ago
→ cell → patient Integrate multi-modal data (genomics, transcriptomics, biosensors, EHR) Perform single-cell and spatial multi-omics analyses at scale Lead high-impact publications and contribute
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neuroimaging software, scripting languages and high-performance computing. Experience working with large datasets such as ABCD, together with an interest in non-suicidal self-injury, suicide research or emotion